Invited Talks, Keynote Lectures, and Academic Workshops on AI and Machine Learning
Conference organizers, universities, and research institutions seeking an AI expert often prioritize speakers who combine rigorous research credentials with accessible communication. Dr. Riazi delivers invited talks and workshops that make complex AI concepts — including large language models, neural networks, and generative AI — comprehensible and actionable for diverse academic audiences.
What Audiences Experience in Dr. Riazi's Talks and Workshops
Complex AI Concepts Made Accessible
Dr. Riazi brings the analytical rigor of a researcher and the pedagogical clarity of a professor to every presentation, making neural networks, large language models, and generative AI accessible to diverse audiences — without sacrificing technical accuracy or oversimplifying.
Research-Grounded Insights
With over 300 citations and 17+ peer-reviewed publications in AI and machine learning, every talk and workshop is grounded in empirical evidence and scholarly research. Audiences gain understanding of the underlying science and current research trajectories, not just popular narratives.
Actionable Knowledge Transfer
Sessions emphasize practical understanding and application: participants leave with knowledge they can immediately apply in academic research, teaching contexts, or institutional AI initiatives, supported by evidence-based frameworks and best practices.
Popular Topics for Invited Talks and Academic Workshops
These topics are frequently requested for keynote lectures, academic workshops, and panel discussions — each session customized to the specific audience, disciplinary context, and event objectives.
AI Integration in Academic Research and Higher Education
Explore how academic research laboratories and higher education institutions can strategically integrate artificial intelligence into research and teaching programs. Learn to identify high-impact use cases, enhance pedagogy with AI-driven tools, and navigate common implementation challenges using evidence-based approaches. This session covers both research applications and practical classroom integration strategies to empower faculty and students alike.
Large Language Models: Applications in Scientific Research
Beyond general AI tools: evidence-based strategies for leveraging large language models in literature synthesis, data analysis, research automation, and scholarly writing while maintaining academic rigor and research integrity.
AI and Machine Learning in Engineering and Environmental Science
How artificial intelligence and machine learning are transforming infrastructure systems, environmental modeling, water resources management, and scientific discovery — grounded in peer-reviewed research and validated case studies.
Responsible AI: Ethics, Bias, and Accountability in Research
Exploring critical issues of algorithmic bias, model interpretability, research ethics, and accountability in AI systems deployed for academic research, scientific discovery, and evidence-based decision-making.
Available Formats for Talks and Workshops
Keynote Lecture
High-impact plenary or invited talk tailored to the conference theme and audience composition, including dedicated time for questions, discussion, and exploration of research insights.
Interactive Workshop
Hands-on session where participants actively engage with AI and machine learning concepts, apply methods to domain-specific research problems, and develop practical skills through guided exercises.
Panel Participation or Moderation
Serving as panelist or moderator for academic discussions on artificial intelligence, machine learning research, responsible AI, and emerging applications in scientific domains.
Webinar or Online Session
Optimized for remote delivery while maintaining interactive engagement, research-focused content, and opportunities for participant questions and discussion.
Invite Dr. Riazi for Talks and Academic Workshops
Contact Dr. Riazi to discuss speaking invitations for your conference, research symposium, or academic event — he will provide guidance on presentation formats and topics best suited to your audience and objectives.